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Metagenomic sequencing at the epicenter of the Nigeria 2018 Lassa fever outbreak.

  • L E Kafetzopoulou
  • , S T Pullan
  • , P Lemey
  • , M A Suchard
  • , D U Ehichioya
  • , M Pahlmann
  • , A Thielebein
  • , J Hinzmann
  • , L Oestereich
  • , D M Wozniak
  • , K Efthymiadis
  • , D Schachten
  • , F Koenig
  • , J Matjeschk
  • , S Lorenzen
  • , S Lumley
  • , Y Ighodalo
  • , D I Adomeh
  • , T Olokor
  • , E Omomoh
  • R Omiunu, J Agbukor, B Ebo, J Aiyepada, P Ebhodaghe, B Osiemi, S Ehikhametalor, P Akhilomen, M Airende, R Esumeh, E Muoebonam, R Giwa, A Ekanem, G Igenegbale, G Odigie, G Okonofua, R Enigbe, J Oyakhilome, E O Yerumoh, I Odia, C Aire, M Okonofua, R Atafo, E Tobin, D Asogun, N Akpede, P O Okokhere, M O Rafiu, K O Iraoyah, C O Iruolagbe, P Akhideno, C Erameh, G Akpede, E Isibor, D Naidoo, Roger Hewson, J A Hiscox, R Vipond, M W Carroll, C Ihekweazu, P Formenty, S Okogbenin, E Ogbaini-Emovon, S Günther, S Duraffour
  • Liverpool School of Tropical Medicine

Research output: Contribution to journalArticlepeer-review

218 Citations (Scopus)

Abstract

The 2018 Nigerian Lassa fever season saw the largest ever recorded upsurge of cases, raising concerns over the emergence of a strain with increased transmission rate. To understand the molecular epidemiology of this upsurge, we performed, for the first time at the epicenter of an unfolding outbreak, metagenomic nanopore sequencing directly from patient samples, an approach dictated by the highly variable genome of the target pathogen. Genomic data and phylogenetic reconstructions were communicated immediately to Nigerian authorities and the World Health Organization to inform the public health response. Real-time analysis of 36 genomes and subsequent confirmation using all 120 samples sequenced in the country of origin revealed extensive diversity and phylogenetic intermingling with strains from previous years, suggesting independent zoonotic transmission events and thus allaying concerns of an emergent strain or extensive human-to-human transmission.

Original languageEnglish
Pages (from-to)74-77
Number of pages4
JournalScience
Volume363
Issue number6422
DOIs
Publication statusPublished - 4 Jan 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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